MCP Toolbox for Databases

// Copyright 2025 Google LLC // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package serverlesssparkcreatesparkbatch import ( "context" "fmt" dataproc "cloud.google.com/go/dataproc/v2/apiv1/dataprocpb" "github.com/goccy/go-yaml" "github.com/googleapis/genai-toolbox/internal/sources" "github.com/googleapis/genai-toolbox/internal/tools" "github.com/googleapis/genai-toolbox/internal/tools/serverlessspark/createbatch" "github.com/googleapis/genai-toolbox/internal/util/parameters" ) const kind = "serverless-spark-create-spark-batch" func init() { if !tools.Register(kind, newConfig) { panic(fmt.Sprintf("tool kind %q already registered", kind)) } } func newConfig(ctx context.Context, name string, decoder *yaml.Decoder) (tools.ToolConfig, error) { baseCfg, err := createbatch.NewConfig(ctx, name, decoder) if err != nil { return nil, err } return Config{baseCfg}, nil } type Config struct { createbatch.Config } // validate interface var _ tools.ToolConfig = Config{} // ToolConfigKind returns the unique name for this tool. func (cfg Config) ToolConfigKind() string { return kind } // Initialize creates a new Tool instance. func (cfg Config) Initialize(srcs map[string]sources.Source) (tools.Tool, error) { return createbatch.NewTool(cfg.Config, cfg, srcs, &SparkBatchBuilder{}) } type SparkBatchBuilder struct{} func (b *SparkBatchBuilder) Parameters() parameters.Parameters { return parameters.Parameters{ parameters.NewStringParameterWithRequired("mainJarFile", "Optional. The gs:// URI of the jar file that contains the main class. Exactly one of mainJarFile or mainClass must be specified.", false), parameters.NewStringParameterWithRequired("mainClass", "Optional. The name of the driver's main class. Exactly one of mainJarFile or mainClass must be specified.", false), parameters.NewArrayParameterWithRequired("jarFiles", "Optional. A list of gs:// URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.", false, parameters.NewStringParameter("jarFile", "A jar file URI.")), parameters.NewArrayParameterWithRequired("args", "Optional. A list of arguments passed to the driver.", false, parameters.NewStringParameter("arg", "An argument.")), parameters.NewStringParameterWithRequired("version", "Optional. The Serverless runtime version to execute with.", false), } } func (b *SparkBatchBuilder) BuildBatch(params parameters.ParamValues) (*dataproc.Batch, error) { paramMap := params.AsMap() mainJar, _ := paramMap["mainJarFile"].(string) mainClass, _ := paramMap["mainClass"].(string) if mainJar == "" && mainClass == "" { return nil, fmt.Errorf("must provide either mainJarFile or mainClass") } if mainJar != "" && mainClass != "" { return nil, fmt.Errorf("cannot provide both mainJarFile and mainClass") } sparkBatch := &dataproc.SparkBatch{} if mainJar != "" { sparkBatch.Driver = &dataproc.SparkBatch_MainJarFileUri{MainJarFileUri: mainJar} } else { sparkBatch.Driver = &dataproc.SparkBatch_MainClass{MainClass: mainClass} } if jarFileUris, ok := paramMap["jarFiles"].([]any); ok { for _, uri := range jarFileUris { sparkBatch.JarFileUris = append(sparkBatch.JarFileUris, fmt.Sprintf("%v", uri)) } } else if mainClass != "" { return nil, fmt.Errorf("jarFiles is required when mainClass is provided") } if args, ok := paramMap["args"].([]any); ok { for _, arg := range args { sparkBatch.Args = append(sparkBatch.Args, fmt.Sprintf("%v", arg)) } } return &dataproc.Batch{ BatchConfig: &dataproc.Batch_SparkBatch{ SparkBatch: sparkBatch, }, }, nil }